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Field
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support from the PI and fellow group/section members. Access to data sets and the GPU supercomputing environment is readily available for immediate use. Essential experience and skills PhD in
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library research and field explorations. Run experiments, analyze results, and prepare research outputs. Execute large-scale training jobs on GPU clusters, track metrics, visualize findings, and contribute
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University of Texas Southwestern Medical Center | Dallas, Texas | United States | about 18 hours ago
spot-scanning proton therapy plan optimization using concurrently acquired imaging data; and motion-adaptive, robust photon/proton radiotherapy plan optimization. We use a hybrid of traditional, GPU
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA
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for the research team. Contribute to software solutions by adhering to project-specific best practices, including version control, continuous integration and delivery, software design, and programming models. Ensure
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for that project (e.g., version control, continuous integration and continuous delivery, software design, programming model, etc.). Conduct Annual Performance Reviews for direct report RSE staff. Supervise
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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well as MyChart data. The position requires strong programming skills and familiarity with large language models (LLMs). The position will support projects focused on clinical natural language processing
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managing and administering an NVIDIA DGX SuperPod instrument. You and another HPC administrator will partner closely with a team of data scientists from Stanford Data Science to ensure that the GPU cluster
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generative artificial intelligence. In addition to impactful research, the project features an ambitious stakeholder engagement program designed to inspire young people to pursue STEM careers, increase public